VEGA: a VAE Enhanced by Gene Annotations for interpretable scRNA-seq deep learning
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
scvega-0.0.2.tar.gz
(123.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
scvega-0.0.2-py3-none-any.whl
(126.0 kB
view details)
File details
Details for the file scvega-0.0.2.tar.gz.
File metadata
- Download URL: scvega-0.0.2.tar.gz
- Upload date:
- Size: 123.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.13 CPython/3.7.6 Linux/5.4.0-100-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fc15bb5aaf60d71ad648438be71d1f5bca0f2cd7d6ba5efc4fc905479fac78a9
|
|
| MD5 |
59dcdd8a5c185eae113fec3629b11050
|
|
| BLAKE2b-256 |
f2bbf429fac87d5052e85d85c3186f482243dfee494112355444db742a09912d
|
File details
Details for the file scvega-0.0.2-py3-none-any.whl.
File metadata
- Download URL: scvega-0.0.2-py3-none-any.whl
- Upload date:
- Size: 126.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.13 CPython/3.7.6 Linux/5.4.0-100-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
84b5737df844ebd804734e17facce543ac4a91e630800d80adad3bbbb6324a5b
|
|
| MD5 |
d2eb03a6700a2877fdd06e891aeaaef5
|
|
| BLAKE2b-256 |
26f71349fbc20198d42e8db8ce89059b48868c289b4c772d03e40ca6b5cdd0ee
|
